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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
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Biomarkers in localized prostate cancer
Matteo Ferro1, Carlo Buonerba2, Daniela Terracciano3
1Division of Urology, European Institute of Oncology, Milan, Italy.
Future Oncology (London, England)
|January 16, 2016
Summary
Improving prostate cancer diagnosis requires better biomarkers beyond prostate-specific antigen (PSA). New molecular markers from genomics, proteomics, and metabolomics show promise for early detection and management of localized prostate cancer.
Area of Science:
- Oncology
- Biochemistry
- Molecular Biology
Background:
- Prostate-specific antigen (PSA) is a widely used biomarker for prostate cancer, but its accuracy for early diagnosis is limited due to its organ-specific, not cancer-specific, nature.
- Existing models incorporating PSA with other markers like prostate cancer antigen 3 and kallikreins offer improvements but are not fully satisfactory.
- Emerging research in metabolomics, including preliminary data on sarcosine, suggests potential new avenues for biomarker discovery.
Purpose of the Study:
- To review the most relevant molecular biomarkers for the early diagnosis of localized prostate cancer.
- To discuss the limitations of current biomarkers like PSA and the potential of novel markers.
- To highlight advancements in genomics, proteomics, and metabolomics for identifying improved diagnostic and management tools.
Main Methods:
- Literature review of recent studies on prostate cancer biomarkers.
- Analysis of data on established biomarkers (PSA, PCA3, kallikreins, PSA isoforms).
- Exploration of emerging biomarker sources including metabolomics (sarcosine), genomics, and proteomics.
Main Results:
- Prostate-specific antigen (PSA) alone has suboptimal accuracy for prostate cancer diagnosis.
- Combined models using PSA with other biomarkers (e.g., PCA3, proPSA, intact PSA, kallikreins) enhance diagnostic performance.
- Metabolomic, genomic, and proteomic approaches are identifying novel molecular biomarkers with potential clinical utility.
Conclusions:
- Novel molecular biomarkers identified through advanced 'omics' technologies are crucial for improving prostate cancer early diagnosis and management.
- Integrating these new biomarkers into diagnostic models can overcome the limitations of PSA alone.
- Further research and validation are needed to translate these findings into clinical practice for localized prostate cancer.

